Han He

Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing

2020

This paper presents our enhanced dependency parsing approach using transformer encoders, coupled with a simple yet powerful ensemble algorithm that takes advantage of both tree and graph dependency parsing. Two types of transformer encoders are …

Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing

2023 · arXiv (Cornell University)

Sequence-to-Sequence (S2S) models have achieved remarkable success on various text generation tasks. However, learning complex structures with S2S models remains challenging as external neural modules and additional lexicons are often supplemented to predict non-textual outputs. …